Where RAG Fits in an AI Product — Roadmap Step & Resources
Common use cases: support bots, internal search, document Q&A
- Level: beginner
- Estimated time: 1 days
- Roadmap: Retrieval-Augmented Generation (RAG) & Vector Databases
Before this step
Study resources
- Pinecone Learning Center (Article) — A vector database provider's extensive educational content on embeddings, retrieval and RAG architecture. Background reading/viewing for: Where RAG Fits in an AI Product.
Part of
- Prompt Engineering Fundamentals — section
- Retrieval-Augmented Generation (RAG) & Vector Databases roadmap — the full learning path